A Few Good Coders · Services
A Few Good Coders builds healthcare VR training simulations and hospital operations software, with access control, auditability and review ownership designed in from the start.
Medical training and hospital operations introduce different engineering risks. A simulation needs credible interactions and predictable behavior on its target hardware; an operations platform needs careful access control and traceable data handling. We help scope and build these systems with the intended use and review requirements made explicit from the start.
Is this a fit?
Scope and deliverables
Choose the work your product needs. The first milestone, acceptance criteria, exclusions and ownership are agreed before delivery starts.
Translate a defined training workflow into simulation states, user interactions, and repeatable scenarios. Agree with subject-matter reviewers on what the simulation should represent and what remains outside its scope.
Scope Unity and C++ work, physics behavior, and haptic interfaces around the chosen equipment. Test interaction fidelity and frame-time constraints on the intended hardware rather than relying only on a desktop demonstration.
Build staff-facing workflows with .NET, Blazor, APIs, and cloud services where they fit the system. Define authentication, capability-based permissions, data boundaries, and structured audit events with the teams responsible for the deployment.
Include testable boundaries, controlled releases, observability, and technical documentation in the scope. Use synthetic or appropriately de-identified data for development and review wherever possible.
Delivery approach
Identify the users, training or operational goal, hardware, data types, and acceptance reviewers. Record validation and compliance requirements as project inputs, with responsibilities agreed before implementation.
Prototype the highest-risk interaction or staff workflow. Review it with the relevant subject-matter experts before expanding the simulation or connecting broader systems.
Implement the agreed scope, test important behavior, and prepare technical evidence and deployment documentation for your review process. Clinical validation and regulatory decisions remain with the appropriate qualified owners.
Work and engineering resources
Our portfolio describes team experience on a VR endoscopy simulator using Unity, C++, PhysX, and haptic integration. It is a relevant example of simulation and hardware-focused engineering.
Explore the medical VR exampleOur anonymized hospital operations example describes a .NET and Azure staff platform with per-employee permissions, audit logging, and guarded AI access to operational workflows.
Explore the hospital platform workBefore we start
No approval or certification is implied by our engineering services or past projects. Requirements depend on intended use, jurisdiction, data, and deployment. Your qualified clinical, legal, and compliance reviewers need to define and approve the applicable validation process.
Yes. Our existing services include hospital operations software, authentication, permissions, APIs, audit trails, and cloud delivery. A staff workflow and a training simulator can be scoped independently when they solve different needs.
Start with a non-sensitive description of the workflow, intended users, target hardware, and review requirements. Do not send patient records or identifiable health information through the website contact form. Any later access to sensitive systems needs an agreed, appropriate process.
We scope hardware with you rather than assuming a headset. Our team's simulator work combined Unity, C++ and PhysX with haptic hardware for instrument feel; the right setup depends on the procedure, the training environment and how the simulator will be deployed and maintained. Representative hardware is tested early, not after the scenario is built.
Yes, with guarded access. Our hospital operations example gives AI access to operational data only through per-employee permissions, structured audit logging and observability. We define which data a model may see, which actions need a person to approve them and how activity is reviewed, before any AI feature is connected to real workflows.
Yes, and we plan for them from the start. Reviewers are named as project inputs, their acceptance criteria shape each milestone, and we prepare technical evidence and documentation for their process. Clinical validation and regulatory decisions remain with your qualified owners; our role is to make the engineering reviewable.
Your first brief
Describe the training or operations problem, intended users, hardware, and who will review the work. Keep the initial brief free of patient data and other sensitive records.
